Epitope 3D: Epitope prediction tool

This software Presented by “Bruna Moreira da Silva”, Epitope3D is an epitope prediction tool using graph-based signatures, developed at the “University of Melbourne“, which is an example of a structure-based approach to epitope prediction. It was developed and trained using a curated, non-redundant set of 200 antigen structures with marked epitopes.

Individual residues, labeled according to whether they belong to the epitope, are characterized using graph-based signatures of the neighborhood of each residue, representing geometry and chemical composition of the environment, making it a similar approach to recent attempts to utilize geometric features in protein model assessment and property prediction.

The resulting signatures are used as input to a Adaboost classifier, which is tested against a set of 45 held-out antigens. In a comparison study against several other epitope prediction tools, Epitope3D boosted impressive classification performance. It will be interesting to see further evaluation of this tool.


This entry was posted in Immunoinformatics. Bookmark the permalink.

Leave a Reply

Your email address will not be published. Required fields are marked *